</> Codebase - trend

The HalfTrend indicator is a trend-following tool designed to provide clear signals of market direction. It integrates elements of a moving average with a breakout-based approach to highlight potential trend reversals. By analyzing the high, low, and closing prices of market data, it calculates a dynamic level that guides traders on whether the market is in an uptrend or a downtrend.

The Kalman Filter is a mathematical approach often used in engineering and finance to produce smooth, adaptive estimates of a system’s state—in this case, the price of a financial instrument. By combining past estimates and new measurements, the Kalman Filter helps reduce noise and track both the price and its velocity (or slope) over time.

Hull Moving Average (HMA) ATR Bands is a technical analysis indicator that combines the concepts of Hull Moving Average (HMA) and Average True Range (ATR) to create dynamic support and resistance levels, or "bands", around the HMA line. This indicator helps traders to gauge the volatility and price action around the HMA, providing additional insights for potential trade setups.

Hull Moving Average (HMA) Bollinger Bands is a technical analysis indicator that combines the concepts of Hull Moving Average (HMA) and Bollinger Bands to create dynamic support and resistance levels, or "bands," around the HMA line. This indicator helps traders gauge the volatility and price action around the HMA, providing additional insights for potential trade setups.

Hurst Exponent

The Choppiness Index is designed to determine whether the market is choppy or trading sideways, or not choppy and trading within a trend in either direction. Using a scale from 1 - 100, the market is considered to be choppy as values near 100 (over 61.80) and trending when values are lower than 38.20).

Double exponential moving averages (DEMA) are an improvement over Exponential Moving Average (EMA) because they allocate more weight to recent data points. The reduced lag results in a more responsive moving average, which helps short-term traders spot trend reversals quickly.

Currently implemented for MT4. Some uses for ER: - A qualifier for a trend following trade; a trend is considered "persistent" only when RE is above a certain value, e.g. 0.3 or 0.4 . - A filter to screen out choppy stocks/markets, where breakouts are frequently "fakeouts". - In an adaptive trading system, helping to determine whether to apply a trend following algorithm or a mean reversion algorithm. - It is used in the calculation of Kaufman's Adaptive Moving Average (KAMA).